Cited web evidence and claim verification for AI agents: send a question or claim plus public URLs and get source-linked passages with retrieval times and content hashes. Discovery is free; each call is paid in USDC on Base over x402.
Codex is OpenAI's coding agent for the terminal. It reads MCP servers from its config and signs in to remote ones with OAuth.
This guide connects Agent Evidence API MCP to Codex through MewCP, so Codex can use Agent Evidence API MCP's 3 tools, like research_evidence, sample and health.
Agent Evidence API MCP needs no credentials, but every call still runs through MewCP: scoped, checked and logged like any other.
More apps
Crawl websites and extract clean structured data optimized for AI applications and automation. Collect content from the web at scale while maintaining high-quality outputs.
Extract structured data from websites and public web pages. Fetch content, parse information and transform online data into formats that can be consumed by applications, agents and workflows.
TinyFish MCP for running AI-driven browser automation tasks, deep web research, persistent browser login profiles, remote CDP browser sessions, and agentic wallet payments.
Scrape, extract, and understand the web, plus identify any company from a domain, email, name, or transaction string. This MCP server exposes Context.dev's API for web scraping in multiple formats (raw HTML, Markdown, screenshots, images, sitemaps, and web search), schema-driven structured data extraction, design-system extraction (styleguides and fonts), and brand intelligence lookups. It's built for AI agents that read, summarize, or monitor web content, for enriching CRM, KYC, or fintech pipelines with company and brand data, and for extracting a competitor's design system or structured product and pricing data at scale.
Other clients
Agent Evidence API MCP works the same way in every client below. Pick yours for its own guide.
Free to start.
Scope access to the exact Agent Evidence API MCP tools and accounts you allow, work and personal side by side. Anything outside that scope is refused at call time, even when the model asks for it.
Each call is logged: what ran, on which account, and whether it worked. Failures come back structured, so the agent knows whether to retry instead of guessing.
Every app sits behind one secure MCP URL, and there is no server for you to deploy or keep running. Add an integration in the dashboard and it is live on the next call, with no config to change and no new credentials to wire up. Tools load only when a task needs them, so your agent stays fast and focused however many apps you connect.
Run this and approve access in the browser window.
Start a new chat and ask: "List the tools you can use from MewCP." You should see your connected apps.
Fetch public web sources and return structured, cited web evidence for a question or claim. Use this for source verification, claim verification, evidence extraction, and source-grounded research, or to compare sources. Returns source URLs, retrieval timestamps, short evidence excerpts, publisher and document metadata, and an explicit supported/contradicted/mixed/inconclusive assessment. Fresh web evidence is retrieved per request unless served from a bounded cache, and each source reports its actual retrieval time. Every excerpt returned is cited evidence tied to its source URL. No API key and no account: discovery is free, a call costs $0.003 in USDC on Base via x402, and nothing is charged when no source is retrieved.
Return one real, previously produced evidence package, free, so you can see exactly what a paid call returns before spending anything: a verdict, and for every source the URL, retrieval time, content hash and the cited excerpts. Takes no arguments and always returns the same package. The paid tool is research_evidence, which answers your own question.
Check that the Agent Evidence API MCP server is reachable and report which service version is running. Free to call, takes no arguments or payment. Returns only {status, service, version} and exposes no secrets or infrastructure detail.
